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---
name: playbook-data-engineering-lakehouse-maturity
description: "Stream/batch boundaries unified with open table formats governed properly."
---
# Playbook: Operate a mature lakehouse
> Stream/batch boundaries unified with open table formats governed properly.
**Track:** 🗺️ Data Engineering · **Domain:** Journey Playbooks · **Level:** journey · **~85 min**
**Who this is for:** Data Engineers, Analytics Engineers, Platform Data Teams
## When to Use This Skill
Stream/batch boundaries unified with open table formats governed properly.
Use it whenever a matching task appears in conversation — the agent loads these instructions on demand.
## Journey Steps
1. Step 1 — Blend streaming and batch where each belongs: start with "Audit which consumers actually need seconds-fresh vs minutes-fresh truth"
2. Step 2 — Choose and operate open table formats deliberately: start with "Select by engine ecosystem fit and vendor-neutral catalog support first"
3. How it fits together: Pick the format your engines love; govern the catalog like production, because it is.
### Referenced Skills
- `lakehouse-streaming-microbatch-streaming-hybrid`
- `lakehouse-streaming-open-table-format-selection`
## Commands
**Install all referenced skills**
```bash
npx skills add aniruddhaadak80/skills --skill lakehouse-streaming-microbatch-streaming-hybrid && npx skills add aniruddhaadak80/skills --skill lakehouse-streaming-open-table-format-selection
```
---
Part of [aniruddhaadak80/skills](https://github.com/aniruddhaadak80/skills) · Browse all at https://skills.sh/aniruddhaadak80/skills
